Model comparison
GPT-3.5-turbo vs o1-mini
o1-mini is the stronger model overall, scoring 34.0 to 23.2 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. GPT-3.5-turbo scores higher in 1 category and o1-mini in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where o1-mini leads 35.4 to 6.3.
- The biggest single-benchmark swing is MATH Level 5: 15.9% for GPT-3.5-turbo and 89.2% for o1-mini.
Side by side
| GPT-3.5-turbo | o1-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 23.2 | 34.0 |
| Released | 2023-03-01 | 2024-09-12 |
| Weights | Proprietary | Proprietary |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 39 |
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Category by category
Coding o1-mini leads
GPT-3.5-turbo: 23.9 (#331), o1-mini: 35.5 (#224)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| WeirdML | 3.5% | 36.3% |
| LMArena Coding | 1136 | 1362 |
| HumanEval+ | 70.7% | 89% |
| MBPP+ | 69.7% | 78.8% |
| Aider Polyglot | — | 32.9% |
| BigCodeBench Instruct | 39.1% | — |
| LiveBench Coding | — | 48% |
| BigCodeBench Complete | 50.6% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, o1-mini: 24.6 (#118)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| Cybench | — | 10% |
| METR Time Horizons | 21.5% | — |
Reasoning GPT-3.5-turbo leads
GPT-3.5-turbo: 13.8 (#332), o1-mini: 8.8 (#346)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1333 |
| Epoch Capabilities Index | 118.55 | 135.82 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| ARC-AGI-1 | — | 14% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 72.3% |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LiveBench Data Analysis | — | 57.9% |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| ForecastBench | 50.4 | — |
| LiveBench | — | 57.8% |
| WinoGrande | 81.6% | — |
Math o1-mini leads
GPT-3.5-turbo: 6.3 (#327), o1-mini: 35.4 (#186)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.2% | 46.9% |
| LMArena Math | 1142 | 1358 |
| MATH Level 5 | 15.9% | 89.2% |
| FrontierMath (Tiers 1-3) | 0% | — |
| LiveBench Math | — | 62% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
| GSM8K | 57.8% | — |
Knowledge o1-mini leads
GPT-3.5-turbo: 10.0 (#303), o1-mini: 34.9 (#192)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| GPQA Diamond | 28% | 62.4% |
| LMArena Expert | 1070 | 1316 |
| Confabulations | — | 18.6% |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual o1-mini leads
GPT-3.5-turbo: 31.5 (#258), o1-mini: 43.6 (#182)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| LMArena Non-English | 1108 | 1289 |
| LMArena Chinese | 1075 | 1314 |
| LMArena French | 1118 | 1293 |
| LMArena German | 1090 | 1278 |
| LMArena Japanese | 1043 | 1245 |
| LMArena Korean | 1019 | 1223 |
| LMArena Russian | 1123 | 1283 |
| LMArena Spanish | 1121 | 1303 |
Instruction Following o1-mini leads
GPT-3.5-turbo: 57.9 (#262), o1-mini: 66.7 (#206)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1119 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context o1-mini leads
GPT-3.5-turbo: 34.0 (#254), o1-mini: 40.1 (#161)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| LMArena Longer Query | 1121 | 1320 |
Writing & Preference o1-mini leads
GPT-3.5-turbo: 25.3 (#305), o1-mini: 48.4 (#202)
| Benchmark | GPT-3.5-turbo | o1-mini |
|---|---|---|
| LMArena Text | 1125 | 1317 |
| LMArena Creative Writing | 1092 | 1244 |
| LMArena Multi-Turn | 1117 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| EQ-Bench Creative Writing | 451 | — |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is GPT-3.5-turbo better than o1-mini?
o1-mini is the stronger model overall, scoring 34.0 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or o1-mini better for coding?
o1-mini scores higher on coding benchmarks: 35.5 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and o1-mini share?
24 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and o1-mini has 39.